Applying Non Linear Approach For ECG Denoising And Waves Localization

In this paper, we develop and evaluate a robust single-lead electrocardiogram (ECG) delineation system and waves localization method based on nonlinear filtering approach. This system is built in two phases. In the first phase, we proposed a mathematical model for detecting ECG features like QRS complex peak, P and T-waves onsets and ends from noise free of synthetic ECG signal. Later, we develop a theoretical model to obtain real approach for detecting these features from real noisy ECG signals. To evaluate our method, it has been applied on electrocardiogram signals of QT-MIT standard database, the QRS peak detection obtained sensitivity (Se) 98.88 and a positive productivity P+ =98.43. For P-onset, P-end, T-end evaluations, this approach provides Sensitivity (Se) of 75.16, 71, and 90.7 respectively. Another test has been conducted to evaluate the performance of this approach against different levels of noise with the same synthetic ECG signal. For denoising test on electrocardiogram signals, our approach based on nonlinear filtering scheme (NLFS) gives robust performance against noise.